7 results on '"Ana Castro Neves"'
Search Results
2. Engagement with an asthma app to monitor medication adherence and its association with patients’ characteristics
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José Carlos Cidrais Rodrigues, Rute Almeida, D. González-de-Olano, Madalena Emiliano, João Fonseca, José Alberto Ferreira, Nicole Pinto, Cristina Jácome, Ana Magnólia Mendes, Luis Araujo, Ana Palhinha, Alberto Costa, Maria João Vasconcelos, Alicia Barra Castro, Rita Amaral, Ricardo Gomes, Maria José Cálix, Adelaide Alves, Manuel Ferreira-Magalhães, Diana Silva, Cláudia Chaves Loureiro, Magna Alves-Correia, Georgeta Oliveira, Mariana Couto, Didina Coelho-Barreiro, Ana S. P. Moreira, Diana Bordalo, Cristina Lopes, Rita Câmara, Rita Gerardo, Filipa Todo Bom, Joana Carvalho, João Lúcio de Azevedo, Darío Antolín-Amérigo, Maria Fernanda Teixeira, Luís Taborda-Barata, Margarida Valério, Ana Castro Neves, Natacha Santos, Rodrigo Rodrigues Alves, Ana Arrobas, Carmen Vidal, Paula Méndez Brea, Fernando Menezes, Carlos Alves, Carlos Lozoya, Ana Todo Bom, Sandra Mendes, Lilia Maia Santos, Sara López Freire, Paula Leiria Pinto, João Cardoso, Belén de la Hoz Caballer, and Ana M. V. M. Pereira
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medicine.medical_specialty ,business.industry ,Internal medicine ,medicine ,Medication adherence ,Patient characteristics ,medicine.disease ,business ,Association (psychology) ,Asthma - Published
- 2021
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3. Monitoring Adherence to Asthma Inhalers Using the InspirerMundi App: Analysis of Real-World, Medium-Term Feasibility Studies
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Cristina Jácome, Rute Almeida, Ana Margarida Pereira, Rita Amaral, Pedro Vieira-Marques, Sandra Mendes, Magna Alves-Correia, José Alberto Ferreira, Inês Lopes, Joana Gomes, Luís Araújo, Mariana Couto, Cláudia Chaves Loureiro, Lilia Maia Santos, Ana Arrobas, Margarida Valério, Ana Todo Bom, João Azevedo, Maria Fernanda Teixeira, Manuel Ferreira-Magalhães, Paula Leiria Pinto, Nicole Pinto, Ana Castro Neves, Ana Morête, Filipa Todo Bom, Alberto Costa, Diana Silva, Maria João Vasconcelos, Helena Falcão, Maria Luís Marques, Ana Mendes, João Cardoso, José Carlos Cidrais Rodrigues, Georgeta Oliveira, Joana Carvalho, Carlos Lozoya, Natacha Santos, Fernando Menezes, Ricardo Gomes, Rita Câmara, Rodrigo Rodrigues Alves, Ana Sofia Moreira, Carmo Abreu, Rui Silva, Diana Bordalo, Carlos Alves, Cristina Lopes, Luís Taborda-Barata, Ricardo M. Fernandes, Rosário Ferreira, Carla Chaves-Loureiro, Maria José Cálix, Adelaide Alves, and João Almeida Fonseca
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medicine.medical_specialty ,self-management ,020205 medical informatics ,02 engineering and technology ,smartphone ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,HDE ALER ,0202 electrical engineering, electronic engineering, information engineering ,Self-management ,Medical technology ,Medicine ,030212 general & internal medicine ,Patient participation ,R855-855.5 ,mHealth ,Medication adherence ,Original Research ,Asthma ,Carat ,biology ,business.industry ,Inhaler ,Technology assessment ,Lama ,technology assessment ,biology.organism_classification ,medicine.disease ,Telephone interview ,medication adherence ,Observational study ,Smartphone ,patient participation ,business - Abstract
Background: Poor medication adherence is a major challenge in asthma and objective assessment of inhaler adherence is needed. InspirerMundi app aims to monitor inhaler adherence while turning it into a positive experience through gamification and social support.Objective: We assessed the medium-term feasibility of the InspirerMundi app to monitor inhaler adherence in real-world patients with persistent asthma (treated with daily inhaled medication). In addition, we attempted to identify the characteristics of the patients related to higher app use.Methods: Two real-world multicenter observational studies, with one initial face-to-face visit and a 4-month telephone interview, were conducted in 29 secondary care centers from Portugal. During an initial face-to-face visit, patients were invited to use the app daily to register their asthma medication intakes. A scheduled intake was considered taken when patients took a photo of the medication (inhaler, blister, or others) using the image-based medication detection tool. Medication adherence was calculated as the number of doses taken as a percentage of the number scheduled. Interacting with the app ≥30 days was used as the cut-off for higher app use.Results: A total of 114 patients {median 20 [percentile 25 to percentile 75 (P25–P75) 16–36] years, 62% adults} were invited, 107 (94%) installed the app and 83 (73%) completed the 4-month interview. Patients interacted with the app for a median of 18 [3–45] days, translated on a median use rate of 15 [3–38]%. Median inhaler adherence assessed through the app was 34 [4–73]% when considering all scheduled inhalations for the study period. Inhaler adherence assessed was not significantly correlated with self-reported estimates. Median adherence for oral and other medication was 41 [6–83]% and 43 [3–73]%, respectively. Patients with higher app use were slightly older (p = 0.012), more frequently taking medication for other health conditions (p = 0.040), and more frequently prescribed long-acting muscarinic antagonists (LAMA, p = 0.024). After 4 months, Control of Allergic Rhinitis and Asthma Test (CARAT) scores improved (p < 0.001), but no differences between patients interacting with the app for 30 days or less were seen.Conclusions: The InspirerMundi app was feasible to monitor inhaler adherence in patients with persistent asthma. The persistent use of this mHealth technology varies widely. A better understanding of characteristics related to higher app use is still needed before effectiveness studies are undertaken.
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- 2021
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4. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study
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Diana Silva, Ana Mendes, Joana Carvalho, Ana Arrobas, Paula Méndez Brea, Filipa Todo Bom, Sara López Freire, Alberto Costa, Ricardo Gomes, Carlos Lozoya, Maria João Vasconcelos, Madalena Emiliano, Alicia Barra Castro, Carmen Vidal, João Lúcio de Azevedo, Margarida Valério, José Alberto Ferreira, Sandra Mendes, Maria José Cálix, Cristina Jácome, Adelaide Alves, Maria Fernanda Teixeira, David Gonzalez-De-Olano, Rita Amaral, Darío Antolín-Amérigo, Manuel Ferreira-Magalhães, Ana Palhinha, Lilia Maia Santos, José Carlos Cidrais Rodrigues, João Cardoso, Rita Câmara, Fernando Menezes, Rodrigo Rodrigues Alves, Magna Alves-Correia, Ana Sofia Moreira, Cristina Lopes, Belén de la Hoz Caballer, Ana Todo Bom, Ana Margarida Pereira, João Fonseca, Mariana Couto, Luis Araujo, Luís Taborda-Barata, Diana Bordalo, Rita Gerardo, Carlos Alves, Natacha Santos, Rute Almeida, Paula Leiria Pinto, Cláudia Chaves Loureiro, Ana Castro Neves, Georgeta Oliveira, Nicole Pinto, and Repositório Científico do Instituto Politécnico do Porto
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self-management ,020205 medical informatics ,Respiratory Medicine and Allergy ,02 engineering and technology ,smartphone ,0302 clinical medicine ,HDE ALER ,0202 electrical engineering, electronic engineering, information engineering ,030212 general & internal medicine ,mHealth ,Lungmedicin och allergi ,Self-management ,Technology assessment ,T58.5-58.64 ,Mobile Applications ,Gamification ,Smartphone ,Public aspects of medicine ,RA1-1270 ,patient participation ,Adult ,medicine.medical_specialty ,Adolescent ,Medication adherence ,Health Informatics ,Information technology ,Medication Adherence ,03 medical and health sciences ,Social support ,medicine ,Humans ,gamification ,Patient participation ,Asma ,Asthma ,Original Paper ,business.industry ,Inhaler ,technology assessment ,medicine.disease ,Spain ,Physical therapy ,Feasibility Studies ,Observational study ,business ,Adesão à Medicação - Abstract
Background Poor medication adherence is a major challenge in asthma, and objective assessment of inhaler adherence is needed. The InspirerMundi app aims to monitor adherence while providing a positive experience through gamification and social support. Objective This study aimed to evaluate the feasibility and acceptability of the InspirerMundi app to monitor medication adherence in adolescents and adults with persistent asthma (treated with daily inhaled medication). Methods A 1-month mixed method multicenter observational study was conducted in 26 secondary care centers from Portugal and Spain. During an initial face-to-face visit, physicians reported patients’ asthma therapeutic plan in a structured questionnaire. During the visits, patients were invited to use the app daily to register their asthma medication intakes. A scheduled intake was considered taken when patients registered the intake (inhaler, blister, or other drug formulation) by using the image-based medication detection tool. At 1 month, patients were interviewed by phone, and app satisfaction was assessed on a 1 (low) to 5 (high) scale. Patients were also asked to point out the most and least preferred app features and make suggestions for future app improvements. Results A total of 107 patients (median 27 [P25-P75 14-40] years) were invited, 92.5% (99/107) installed the app, and 73.8% (79/107) completed the 1-month interview. Patients interacted with the app a median of 9 (P25-P75 1-24) days. At least one medication was registered in the app by 78% (77/99) of patients. A total of 53% (52/99) of participants registered all prescribed inhalers, and 34% (34/99) registered the complete asthma therapeutic plan. Median medication adherence was 75% (P25-P75 25%-90%) for inhalers and 82% (P25-P75 50%-94%) for other drug formulations. Patients were globally satisfied with the app, with 75% (59/79) scoring ≥4,; adherence monitoring, symptom monitoring, and gamification features being the most highly scored components; and the medication detection tool among the lowest scored. A total of 53% (42/79) of the patients stated that the app had motivated them to improve adherence to inhaled medication and 77% (61/79) would recommend the app to other patients. Patient feedback was reflected in 4 major themes: medication-related features (67/79, 85%), gamification and social network (33/79, 42%), symptom monitoring and physician communication (21/79, 27%), and other aspects (16/79, 20%). Conclusions The InspirerMundi app was feasible and acceptable to monitor medication adherence in patients with asthma. Based on patient feedback and to increase the registering of medications, the therapeutic plan registration and medication detection tool were redesigned. Our results highlight the importance of patient participation to produce a patient-centered and engaging mHealth asthma app.
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- 2021
5. Identification of clusters of asthma control: A preliminary analysis of the Inspirers studies
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Filipa Todo Bom, José Torres da Costa, Ana Magnólia Mendes, Ricardo Gomes, Rute Almeida, Cláudia Pinto, João Lúcio de Azevedo, Medida – Medicina, Educação, Investigação, Desenvolvimento e Avaliação, Porto, Cláudia Chaves Loureiro, Maria Joana Catarata, Ana M. V. M. Pereira, Mariana Pereira, Maria João Vasconcelos, Centro Hospitalar e Universitário de Coimbra erviço de Imunoalergologia, Mariana Couto, Georgeta Oliveira, Ivete Afonso, João Cardoso, Rita Amaral, José Augusto Ferreira, Nuno Neuparth, Diana Bordalo, Fernanda Carvalho, Margarida Valério, J Marques, Joana Dias, Imunoalergologia, Grupo Hpa Saúde, Portimão, Bárbara Ramos, Anabela Lopes, Maria Fernanda Teixeira, Rita Gerardo, Marta Alves, M. M. Magalhães, Pedro Morais Silva, Cristina Jácome, Ana Palhinha, Sara Cabral, Maria Alvarenga Santos, Marta Santalha, Carmelita Ribeiro, Rodrigo Rodrigues Alves, Imunoalergologia, Centro de Imunoalergologia do Algarve, Portimão, Armandina Moreira da Silva Neto, José Ferraz de Oliveira, Inês Lopes, David Trincão, Ana S. P. Moreira, Cristina Lopes, Ana Patrícia Marques, Ana Arrobas, João Pereira, Alberto Costa, Serviço de Imunoalergologia, Centro Hospitalar de São João, Porto, Ana Castro Neves, Serviço de Imunoalergologia, Centro Hospitalar Universitário do Algarve, Portimão, Fernando Menezes, Ana Paula Aguiar, Raquel Câmara, Madalena Emiliano, Natacha Santos, Joana Carvalho, Didina Coelho, Luís Barata, João Fonseca, Joana Branco, Diana Pinto, Rosário Ferreira, Luis Araujo, José Carlos Cidrais Rodrigues, Espinho, Centro Hospitalar e Universitário de Coimbra Serviço de Imunoalergologia, Ana Todo Bom, M Correia, José de Mello Saúde Imunoalergologia, Diana Silva, Teresa Almeida, Carlos Angelo Nunes, Carlos Alves, Lilia Maia Santos, Lisboa Faculdade de Ciências Médicas, Marta Pereira, Centro Hospitalar de Leiria Imunoalergologia, Maria José Cálix, Adelaide Alves, Carlos Lozoya, Pedro Martins, Centro Hospitalar e Universitário de Coimbra Serviço de Pneumologia, Ricardo M. Fernandes, Paula Leiria Pinto, Comprehensive Health Research Centre (CHRC) - pólo NMS, NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), and Centro de Estudos de Doenças Crónicas (CEDOC)
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business.industry ,Immunology ,Computational biology ,Classification ,medicine.disease ,Asthma ,Preliminary analysis ,Cluster analysis ,Control of allergic rhinitis and asthma test ,Asthma control ,Immunology and Allergy ,Medicine ,Identification (biology) ,business - Abstract
This work was funded by ERDF (European Regional Development Fund) through the operations: POCI- -01-0145-FEDER-029130 (“mINSPIRERS—mHealth to measure and improve adherence to medication in chronic obstructive respiratory diseases - generalisation and evaluation of gamification, peer support and advanced image processing technologies”) co-funded by the COMPETE2020 (Programa Operacional Competitividade e Internacionalização), Portugal 2020 and by Portuguese Funds through FCT (Fundação para a Ciência e a Tecnologia). © 2020, Sociedade Portuguesa de Alergologia e Imunologia Clinica. All rights reserved. Aims: To identify distinct asthma control clusters based on Control of Allergic Rhinitis and Asthma Test (CARAT) and to compare patients’ characteristics among these clusters. Methods: Adults and adolescents (≥13 years) with persistent asthma were recruited at 29 Portuguese hospital outpatient clinics, in the context of two observational studies of the INSPIRERS project. Demographic and clinical characteristics, adherence to inhaled medication, beliefs about inhaled medication, anxiety and depression, quality of life, and asthma control (CARAT, >24 good control) were collected. Hierarchical cluster analysis was performed using CARAT total score (CARAT-T). Results: 410 patients (68% adults), with a median (percentile 25–percentile 75) age of 28 (16-46) years, were analysed. Three clusters were identified [mean CARAT-T (min-max)]: cluster 1 [27(24-30)], cluster 2 [19(14-23)] and cluster 3 [10(2-13)]. Patients in cluster 1 (34%) were characterised by better asthma control, better quality of life, higher inhaler adherence and use of a single inhaler. Patients in clusters 2 (50%) and 3 (16%) had uncontrolled asthma, lower inhaler adherence, more symptoms of anxiety and depression and more than half had at least one exacerbation in the previous year. Further-more, patients in cluster 3 were predominantly female, had more unscheduled medical visits and more anxiety symp-toms, perceived a higher necessity of their prescribed inhalers but also higher levels of concern about taking these inhalers. There were no differences in age, body mass index, lung function, smoking status, hospital admissions or specialist physician follow-up time among the three clusters. Conclusion: An unsupervised method based on CARAT--T, identified 3 clusters of patients with distinct, clinically meaningful characteristics. The cluster with better asthma control had a cut-off similar to the established in the validation study of CARAT and an additional cut-off seems to distinguish more severe disease. Further research is necessary to validate the asthma control clusters identified. publishersversion published
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- 2020
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6. Validation of app and telephonic versions of the Control of Allergic Rhinitis and Asthma Test (CARAT)
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Paula Leiria Pinto, Ana M. V. M. Pereira, Carlos Alves, Ana Arrobas, Cristina Lopes, Georgeta Oiveira, Rute Almeida, Fernanda Teixeira, Nicole Pinto, Rita Câmara, Cláudia Chaves Loureiro, J. Azevedo, Carlos Lozoya, Lilia Maia Santos, Fernando Menezes, Filipa Todo Bom, Aurora Carvalho, Rodrigo Rodrigues Alves, Natacha Santos, Ana Todo Bom, Maria José Cálix, João Fonseca, Ana Castro Neves, Luís Taborda-Barata, Diana Bordalo, Rita Gerardo, Pedro Vieira-Marques, Mariana Couto, Madalena Emiliano, Margarida Valério, Ana Mendes, João Luís Cardoso, José Alberto Ferreira, Cristina Jácome, Alberto Costa, José Carlos Cidrais Rodrigues, Diana Silva, and Ricardo Gomes
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Carat ,medicine.medical_specialty ,Intraclass correlation ,business.industry ,medicine.disease ,Test (assessment) ,Convergent validity ,Cronbach's alpha ,Interquartile range ,medicine ,Physical therapy ,Outpatient clinic ,business ,Asthma - Abstract
The paper version of CARAT (pCARAT) is valid to assess asthma control over a 4-week period. For follow-up purposes, assessment through mobile apps (aCARAT) or telephone (tCARAT) may be useful alternatives. We explored the psychometric properties of the aCARAT and tCARAT. Patients with asthma were recruited at secondary care outpatient clinics. During medical visits, patients filled in the pCARAT and were invited to complete the aCARAT in the following days using the app of project Inspirers (InspirerMundi). After 1 week, tCARAT was collected. Patients completing the 3 CARAT versions within 28 days were analysed. CARAT scores (0-worst, 30-best) were calculated. The internal consistency (Cronbach’s α), convergent validity (Spearman correlation-rs) and reliability (intraclass correlation coefficient-ICC, Bland-Altman analysis) were determined. 55 patients (21 male; median 19 [interquartile range 17-37]y) were included. The aCARAT was completed by 82% of patients within 1 week of pCARAT; and by 78% within 1 week of tCARAT. The median pCARAT score was 21[17-24], the aCARAT 21[18-26], and the tCARAT 23[21-26]. Internal consistency was good for all versions (α=.73-.77). pCARAT was more strongly correlated with aCARAT than with tCARAT. Reliability was better for aCARAT than for tCARAT (table 1). App and telephonic CARAT versions are valid and reliable, exhibiting comparable psychometric properties to the paper version. These new CARAT versions are promising alternatives for assessing control in patients with asthma.
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- 2019
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7. Vibrations of cracked beams: Discrete mass and stiffness models
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Ana Castro Neves, A. Pinto da Costa, and Fernando M. F. Simões
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Cantilever ,Materials science ,02 engineering and technology ,01 natural sciences ,Physics::Geophysics ,0203 mechanical engineering ,0103 physical sciences ,medicine ,General Materials Science ,010301 acoustics ,Stress intensity factor ,Civil and Structural Engineering ,business.industry ,Mechanical Engineering ,Stiffness ,Fracture mechanics ,Structural engineering ,Discrete element method ,Computer Science Applications ,Vibration ,Nonlinear system ,020303 mechanical engineering & transports ,Modeling and Simulation ,medicine.symptom ,business ,Beam (structure) - Abstract
A DEM formulation is developed for the dynamic analysis of beams with cracks.The loss of stiffness at the crack location is based on the stress intensity factors.The effects of the crack depth and location are investigated. The present work aims at contributing to the characterization of the nonlinear dynamic behavior of structures incorporating cracks. With this purpose, the Discrete Element Method is adopted in conjunction with an existing result from fracture mechanics that takes into account the local flexibility of a cracked beam. The dynamic behavior of a cantilever beam and of a beam free of support conditions is studied and the effect of the presence of a crack is analyzed. When possible, the results are compared with exact solutions or with experimental data from the literature.
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- 2016
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